This two-day workshop explores the current state and future directions of **Bayesian inference** in ultra-relativistic heavy-ion collisions. Bayesian methods have become central to constraining QGP transport properties, initial-state dynamics, nuclear structure, and jet quenching — bridging experimental measurements and theoretical models in a statistically rigorous framework.
Topics
- Bayesian parameter estimation and model comparison in HIC
- Transport coefficients (η/s, ζ/s) and their temperature dependence
- Initial-state dynamics and nuclear structure (light ions, O+O, Ne+Ne)
- Jet quenching and small-system phenomenology
- Emulators, likelihood design, and computational challenges
- Uncertainty quantification and model dependence
- Outlook: 2025 LHC run, light-ion collisions, and QM2027 science
Format
- Invited and contributed talks
- Discussion sessions on opportunities and open challenges
- Interaction between experimentalists, theorists, and statisticians
Conference information
The call for abstracts is open
You can submit an abstract for reviewing.
Registration
Registration for this event is currently open.